Chen Bai

1.2k citations
33 papers · 802 · h-index 15

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • HER2/EGFR in Cancer Research
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Fungal and yeast genetics research 6
    • Cancer therapeutics and mechanisms 4
    • HER2/EGFR in Cancer Research 5
    • Colorectal Cancer Surgical Treatments 3
    • Colorectal Cancer Treatments and Studies 3

Chen Bai

32 papers receiving 790 citations

Peers

Chen Bai
Comparison fields: 5 of 84
  • Oncology 288
  • Hematology 88
  • Infectious Diseases 141
  • Biochemistry 40
  • Pathology and Forensic Medicine 87
Replace Samuel McGee with:
Samuel McGee United States
Lisa M. Chelstrom United States
Thomas E. Hansen‐Hagge Germany
Sara Baccarini Italy
Xiaofeng Han China
Eunji Yang South Korea
Leticia Rocha‐Zavaleta Mexico
José E. Guimarães Portugal
Witold Lasek Poland
Afshin Namdar Canada
Chen Bai relative to Samuel McGee United States Samuel McGee's profile →
Citations per field
00.5×
Samuel McGee · 1×
Citations per year

Countries citing papers authored by Chen Bai

Since Specialization
Citations

This map shows the geographic impact of Chen Bai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chen Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Bai more than expected).

Fields of papers citing papers by Chen Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen Bai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chen Bai. The network helps show where Chen Bai may publish in the future.

Co-authors

The 25 scholars most cited alongside Chen Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chen Bai Line = papers co-authored together Chen Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018129
2 200275
3 199872
4 200256
5 202052
6 201747
7 200637
8 200633
9 202232
10 201930
11 201920
12 201719
13 202117
14 201617
15 201116
16 201514
17 200814
18 201913
19 202313
20 201613

About Chen Bai

Chen Bai is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 33 papers that have together received 802 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Antifungal resistance and susceptibility (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), HER2/EGFR in Cancer Research (5 papers), Genetic factors in colorectal cancer (4 papers), Cancer therapeutics and mechanisms (4 papers), Colorectal Cancer Surgical Treatments (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Oncology (288 citations), Hematology (88 citations), Infectious Diseases (141 citations), Biochemistry (40 citations) and Pathology and Forensic Medicine (87 citations). Chen Bai has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yue Wang, Xianhua Gao, Lianjie Liu, Wei Zhang, Xinde Zheng, Yan-Ming Wang, Nicholas C. Yoder, Xiaojun Yan, Makiko Takenaka and Keizo Sekiya. Their work appears in journals such as Molecular Microbiology, International Journal of Surgery, Molecular Biology of the Cell, Frontiers in Oncology and Blood.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact